Junxue ZHANG ๅผ ้ช้›ช

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Research Assistant Professor

Email: zjx [at] ust [dot] hk

Office: Room 2542, Academic Building

Curriculum Vitae

Junxue ZHANG is currently a Research Assistant Professor at the Department of Computer Science & Engineering, the Hong Kong University of Science and Technology (HKUST). Junxue obtained his Ph.D. at iSINGLab, HKUST, supervised by Prof. Kai CHEN. His research interests are building high-performance, intelligent and secure datacenter networking, with a particular focus on AI-Centric Transports (AICT) now. Please see his research statement for more information.

News

๐ŸŽ‰ 2024.12 - My co-authored paper GREEN is accepted to NSDI 2025. [more]

๐Ÿชช 2024.12 - I will join USTC in Spring 2025. Looking for Ph.D. and M.Sc. students! [more]

๐ŸŽŠ 2024.11 - My co-authored paper Sequoia is accepted to SIGMOD 2025. [more]

๐Ÿ“ 2024.10 - I will serve on the TPC of CoNEXT 2025. Welcome to submit! [more]

๐ŸŽ‰ 2024.10 - My co-authored paper TACC is accepted to ASPLOS 2025. [more]

๐ŸŽŠ 2024.08 - eNetSTL and Jury are accepted to EuroSys 2025. [more]

๐ŸŽ‰ 2024.07 - Our survey on FHE accelerators is accepted to ACM Computing Survey. [more]

๐ŸŽŠ 2024.05 - My co-authored paper Tassel is accepted to SIGCOMM 2024. [more]

๐ŸŽ‰ 2024.05 - My co-authored paper Excalibur is accepted to ATC 2024. [more]

๐Ÿ† 2023.10 - Proteus received Best Paper Award @ ICNP! [more]

๐Ÿ† 2023.04 - I am awarded the Honorable Mention, HKUST CSE Best Dissertation Award. [more]

๐Ÿ”ฅ Openings! ๐Ÿ”ฅ I will join University of Science and Technology of China as a Professor (็‰นไปปๆ•™ๆŽˆ)Ph.D. Supervisor. Specially appointed as a tenured associate professor with the title of full professor in Spring 2025. Multiple openings are available:

โ€ข Ph.D. and M.Sc. Students: Multiple opening positions starting at Fall 2025 are available. I am currently seeking self-motivated Ph.D. and M.Sc. students to work with me. Ideal candidates should either have demonstrated research experience (e.g., published papers, participation in research projects) or be enthusiastic about producing high-quality code (e.g., taking pride in their work, contributing to open-source initiatives).

If you plan to admit in Spring 2025, please let me know as soon as possible.

โ€ข Undergradate Students: I will recruit a number of undergraduate students from USTC after I join. These undergraduates will work on projects under my supervision or that of my Ph.D. students. They will also receive priority consideration for admission into M.Sc. or Ph.D. programs.

๐Ÿ“ง Please email me your CVCV should include your full education background and research/project experience. along with your English transcriptFor non-native English speakers, scores from well-recognized tests such as CET-4/6, TOEFL, IELTS, and others are all acceptable. if you are interested!

Selected Publications

| Full Publications | Google Scholar | DBLP | Semantic Scholar | ORCID | arXiv Author Page |

* indicates equal contribution and # indicates corresponding author.

  1.       NSDI      

    FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning

    Junxue Zhang, Xiaodian Cheng, Wei Wang, Liu Yang, Jinbin Hu, Kai Chen

    In Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

    paper | usenix page | slides | video | extended version
  2.    SIGCOMM   

    LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath

    Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen

    In Proceedings of the ACM SIGCOMM 2022 Conference, 2022

    paper | acm dl | code | slides | video | extended version
  3.     CoNEXT    

    Enabling ECN for Datacenter Networks with RTT Variations

    Junxue Zhang, Wei Bai, Kai Chen

    In Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

    paper | acm dl | code | slides | extended version
  4.        CSUR       

    SoK: Fully Homomorphic Encryption Accelerators

    Junxue Zhang*, Xiaodian Cheng*, Liu Yang, Jinbin Hu, Ximeng Liu, Kai Chen

    ACM Computing Survey, 2024, Volume: 26, Issue: 12

    paper | acm dl | docker | arXiv
  5.       TPDS      

    High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning

    Junxue Zhang, Xiaodian Cheng, Liu Yang, Jinbin Hu, Han Tian, Kai Chen

    IEEE Transactions on Parallel and Distributed Systems, 2024, Volume: 35, Issue: 8

    paper | ieee dl | supplementary materials
  6.       TON      

    LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath (extended version)

    Junxue Zhang, Chaoliang Zeng, Hong Zhang, Shuihai Hu, Kai Chen

    IEEE/ACM Transactions on Networking, 2024, Volume: 32, Issue: 1

    paper | ieee dl | code
  7.     EuroSys    

    eNetSTL: Towards an In-kernel Library for High-Performance eBPF-based Network Functions

    Bin Yang, Dian Shen#, Junxue Zhang#, Hanlin Yang, Lunqi Zhao, Beilun Wang, Guyue Liu, Kai Chen

    In Proceedings of the 20th European Conference on Computer Systems, 2025

    paper | supplementary materials
  8.         ATC        

    Efficient Decentralized Federated Singular Vector Decomposition

    Di Chai, Junxue Zhang#, Liu Yang, Yilun Jin, Leye Wang, Kai Chen#, Qiang Yang

    In Proceedings of the USENIX Annual Technical Conference, 2024

    paper | usenix page | code | docker

    Pass the Artfact Evaluation with all badges: usenixbadges-available usenixbadges-functional usenixbadges-reproduced

  9.     EuroSys    

    Accelerating Privacy-Preserving Machine Learning With GeniBatch

    Xinyang Huang, Junxue Zhang#, Xiaodian Cheng, Hong Zhang, Yilun Jin, Shuihai Hu, Han Tian, Kai Chen#

    In Proceedings of the 19th European Conference on Computer Systems, 2024

    paper | acm dl | code
  10.       NSDI      

    GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters

    Kaiqiang Xu, Decang Sun, Han Tian, Junxue Zhang, Kai Chen

    In Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

    (to appear)
  11.    SIGCOMM   

    Fast, Scalable, and Accurate Rate Limiter for RDMA NICs

    Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue Zhang, Kai Chen

    In Proceedings of the ACM SIGCOMM 2024 Conference, 2024

    paper | acm dl
  12.    SIGCOMM   

    Resilient Datacenter Load Balancing in the Wilds

    Hong Zhang, Junxue Zhang, Wei Bai, Kai Chen, Chowdhury Mosharaf

    In Proceedings of the ACM SIGCOMM 2017 Conference, 2017

    paper | acm dl | code

Teaching

2024 Fall, COMP 3511 - Operating Systems (L1)

Industry Experience

2018 - 2023, Co-founder/CTO, Clustar Technology Co., Ltd

Professional Services & Activities

Journal Reviews

I have been reviewers for the following journals:

Awards

Miscellaneous